Similarities between P (complexity) and PSPACE
P (complexity) and PSPACE have 12 things in common (in Unionpedia): Alternating Turing machine, Complement (complexity), Computational complexity theory, Decision problem, Descriptive complexity theory, EXPTIME, Kleene star, Non-deterministic Turing machine, NP (complexity), Polynomial, Turing machine, Union (set theory).
Alternating Turing machine
In computational complexity theory, an alternating Turing machine (ATM) is a non-deterministic Turing machine (NTM) with a rule for accepting computations that generalizes the rules used in the definition of the complexity classes NP and co-NP.
Alternating Turing machine and P (complexity) · Alternating Turing machine and PSPACE ·
Complement (complexity)
In computational complexity theory, the complement of a decision problem is the decision problem resulting from reversing the yes and no answers.
Complement (complexity) and P (complexity) · Complement (complexity) and PSPACE ·
Computational complexity theory
Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.
Computational complexity theory and P (complexity) · Computational complexity theory and PSPACE ·
Decision problem
In computability theory and computational complexity theory, a decision problem is a problem that can be posed as a yes-no question of the input values.
Decision problem and P (complexity) · Decision problem and PSPACE ·
Descriptive complexity theory
Descriptive complexity is a branch of computational complexity theory and of finite model theory that characterizes complexity classes by the type of logic needed to express the languages in them.
Descriptive complexity theory and P (complexity) · Descriptive complexity theory and PSPACE ·
EXPTIME
In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that have exponential runtime, i.e., that are solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n. In terms of DTIME, We know and also, by the time hierarchy theorem and the space hierarchy theorem, that so at least one of the first three inclusions and at least one of the last three inclusions must be proper, but it is not known which ones are.
EXPTIME and P (complexity) · EXPTIME and PSPACE ·
Kleene star
In mathematical logic and computer science, the Kleene star (or Kleene operator or Kleene closure) is a unary operation, either on sets of strings or on sets of symbols or characters.
Kleene star and P (complexity) · Kleene star and PSPACE ·
Non-deterministic Turing machine
In theoretical computer science, a Turing machine is a theoretical machine that is used in thought experiments to examine the abilities and limitations of computers.
Non-deterministic Turing machine and P (complexity) · Non-deterministic Turing machine and PSPACE ·
NP (complexity)
In computational complexity theory, NP (for nondeterministic polynomial time) is a complexity class used to describe certain types of decision problems.
NP (complexity) and P (complexity) · NP (complexity) and PSPACE ·
Polynomial
In mathematics, a polynomial is an expression consisting of variables (also called indeterminates) and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponents of variables.
P (complexity) and Polynomial · PSPACE and Polynomial ·
Turing machine
A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules.
P (complexity) and Turing machine · PSPACE and Turing machine ·
Union (set theory)
In set theory, the union (denoted by ∪) of a collection of sets is the set of all elements in the collection.
P (complexity) and Union (set theory) · PSPACE and Union (set theory) ·
The list above answers the following questions
- What P (complexity) and PSPACE have in common
- What are the similarities between P (complexity) and PSPACE
P (complexity) and PSPACE Comparison
P (complexity) has 58 relations, while PSPACE has 33. As they have in common 12, the Jaccard index is 13.19% = 12 / (58 + 33).
References
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